e-Xploration
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antropologiaNet, dataviz, collective intelligence, algorithms, social learning, social change, digital humanities
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Andre Deak: "Mapear coisas é fetiche, moda, tendência. Mas não só" | #dataviz #colaborativas

Andre Deak: "Mapear coisas é fetiche, moda, tendência. Mas não só" | #dataviz #colaborativas | e-Xploration | Scoop.it
Mapear coisas tornou-se, assim, uma espécie de fetiche, de moda, de tendência, mas não apenas. Mapas ajudam a entender o mundo ao redor, e a entender o nosso lugar nele.
luiy's insight:

Mapear coisas tornou-se, assim, uma espécie de fetiche, de moda, de tendência, mas não apenas. Mapas ajudam a entender o mundo ao redor, e a entender o nosso lugar nele. Também tornam visíveis pessoas, sentimentos, histórias, que não estão nos mapas oficiais. Se a história é contada pelos vencedores, os mapas também são feitos por eles -- e são eles que decidem o que ou quem está ou não no mapa. Felizmente, agora todos podemos contar nossas histórias, construir nossos próprios mapas. As ferramentas estão nas nossas mãos.

 

Mas a abundância de mapas e mapeamentos tem gerado um problema interessante: como combinar todos estes mapas? Será que não seria interessante cruzar, talvez, desmatamento com violência? (digo porque já fizemos isso em 2007: a faixa de maior desmatamento na Amazônia é justamente onde estavam os municípios mais violentos do país). Que relações poderíamos tirar do cruzamento espacial de informações diversas?

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Latest Creative Infographic Trends: a visualization gallery

Latest Creative Infographic Trends: a visualization gallery | e-Xploration | Scoop.it

Infographics have become very famous the past years, and there have been have been numerous examples and posts showcasing inspiring and creative infographics related to certain topics across the internet.

 

This particular collection of designs includes 10 infographics that are not all focused on a specific niche subject, though they can all serve as examples of creative visualizations and innovative ways to convey information. Hopefully they will help inform or provide inspiration for any potential new and developing data visualization projects you may be working on...


Via Lauren Moss
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#trends : #Top10 Innovative Companies in #BigData 2014

#trends : #Top10 Innovative Companies in #BigData 2014 | e-Xploration | Scoop.it
According to one projection, the sales of big-data-related products and services grew to more than $18 billion in 2013. Companies can now map your...
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1. GE

For harnessing data from its planes and trains to power a new Industrial Internet, potentially saving billions. General Electric is best known for its machine making, but it’s gotten smart and branded itself as a big-data company, too, by pushing its vision for an “Industrial Internet”

 

2. KAGGLE

For feeding its DIY data scientists cash-prize challenges (then molding them into a consulting biz). Now more than ever, organizations are turning toward data insights to make big decisions, and with its battalion of 150,000 data scientists, no one is better poised to take advantage of the shift than Kaggle. It farms out complex “data challenges” that come with cash prizes

 

3. AYASDI

For using a visual approach to take the guesswork out of big data. Instead of mining petabytes of info to solve a problem, customers of DARPA-funded spinout Ayasdi

 

. MOUNT SINAI ICAHN SCHOOL OF MEDICINE

For embracing data scientists and supercomputers to build the hospital of the future. The New York City hospital is bringing on top Silicon Valley talent to build a facility that will map patients’ genomes to predict diseases, reduce the number of average hospital visits, and streamline electronic medical records.

 

6. THE WEATHER COMPANY

For analyzing millions of local climates to predict how shoppers’ habits sway with the weather. It’s more than just a weather channel. By analyzing the behavior patterns of its digital and mobile users in 3 million locations worldwide

 

7. KNEWTON

For forging alliances to make millions of students smarter, from adaptive­-learning e­books to personalized English­ language training courses. Any teacher can walk students through a course. But to pinpoint and develop the specific problem areas of each student—in classrooms that are already at capacity—is a tough undertaking, which is where Knewton steps in

 

8. SPLUNK

For providing businesses with hundreds of homegrown apps to sniff out error files and keep things humming. After going public in 2012, Splunk has continued its explosive growth as a pure-play leader in the big-data space. It pulled in $200 million in revenue in 2013, thanks to new customers like T-Mobile, the U.S.

 

9. GNIP

For expanding its service to let customers dive through every social media stream available. Gnip’s service, which lets customers monitor and parse through social media streams by attributes like keywords, trends, and locations, has grown even more powerful over the past year. In addition to data from Facebook, YouTube, and Google+, and access to Twitter’s full historical stream of tweets

 

0. EVOLV

For mining employee performance to help stanch turnover and upend HR. Big data is also changing the way companies hire and manage their workforces. Like other HR software, Evolv helps employers better understand employees and job candidates by comparing their skills, work experience, and personalities. 

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